Abstract
Three methods for estimating a transfer function of a system with two inputs were compared. The first is a method based on the analysis in frequency domain (FD method). The second method makes use of the autoregressive model (AR method). The third one uses the multiple regression model (MR method). These methods were applied to 100 pairs of artificial data which were synthesized on the basis of three kinds of assumed transfer functions. It is concluded from the results of comparison that MR method is the best of the three.
